Genomic and systems approaches to translational biomarker discovery in immunological diseases

Drug Discov Today. 2014 Feb;19(2):133-9. doi: 10.1016/j.drudis.2013.10.002. Epub 2013 Oct 11.

Abstract

The high failure rate of new therapeutic mechanisms tested in clinical development has spurred an upsurge in research dedicated to discovering biomarker readouts that can improve decision-making. Increasingly, systems biology and genomic technologies, such as transcriptional profiling, are being leveraged to aid in the discovery of biomarker readouts. For inflammatory and immunological diseases, such as rheumatoid arthritis (RA) and asthma, progress has been made in developing biomarkers to monitor disease activity, prediction of response to therapy, and pharmacodynamic (PD) measurements. In this review, we discuss recent successes and challenges in these endeavors, highlighting the importance of human clinical studies of standard-of-care treatments in control subjects and patients with disease as the most direct path toward identifying useful translational biomarkers for clinical development.

Publication types

  • Review

MeSH terms

  • Animals
  • Biomarkers / metabolism
  • Drug Design
  • Genomics / methods*
  • Humans
  • Immune System Diseases / drug therapy*
  • Immune System Diseases / physiopathology
  • Inflammation / drug therapy
  • Inflammation / physiopathology
  • Systems Biology / methods*
  • Translational Research, Biomedical / methods

Substances

  • Biomarkers